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  • 郭虎升

    最终学位:博士

    导师类型:博士生导师

  • 电子邮箱:guohusheng@sxu.edu.cn

    联系电话:0351-7010566

  • 研究方向:数据挖掘、机器学习

  • 个人简介
  • 学术论文
  • 科研项目

郭虎升,博士,教授,博士生导师,山西大学计算机与信息技术学院人工智能系副主任,主要研究方向为数据挖掘、机器学习等,“三晋英才”青年优秀人才。中国计算机学会(CCF)高级会员、中国计算机学会人工智能与模式识别专委会执行委员,中国人工智能学会(CAAI)机器学习专委会正式委员、知识工程与分布智能专委会正式委员。担任AAAI、CCFAI、CCDM、CCML、NCIIP等国际国内学术会议的论坛主席、程序委员。近年来,主持国家自然科学基金项目2项,主持省部级科学研究、教学改革及其他企事业委托项目10余项,以第一或通讯作者身份在《Neural Networks》、《Pattern Recognition》、《Knowledge & Information Systems》、《Information Sciences》、《软件学报》、《计算机研究与发展》等发表论文40余篇,出版国家级教材1部。曾荣获山西省科技进步二等奖、教育部宝钢教育奖、山西大学十佳青年教师、ACM理事会太原分会优博。近年来指导10余名研究生荣获山西省省级优秀学位论文、CCF太原分部优秀学位论文、研究生国家奖学金等重要荣誉及奖励。

[1] Husheng Guo, Haosen Xia, Hai Li, Wenjian Wang. Concept evolution detection based on noise reduction soft boundary. Information Sciences, 2023, 628, 391-408.

[2] Husheng Guo, Lu Cong, Shuhua Gao, Wenjian Wang. Adaptive classification method for concept drift based on online ensemble. Journal of Computer Research and Development(计算机研究与发展), 2023, 60(7): 1592-1602.(in Chinese)

[3] Husheng Guo, Hai Li, Ni Sun, Qiaoyan Ren, Aijuan Zhang, Wenjian Wang. Concept drift detection and accelerated convergence of online learning. Knowledge and Information Systems, 2023, 65, 1005-1043.

[4] Mingming Han, Husheng Guo, Jinyan Li, Wenjian Wang. Global-local information based oversampling for multi-class imbalanced data. International Journal of Machine Learning and Cybernetics, 2023.

[5] Husheng Guo, Hai Li, Qiaoyan Ren, Wenjian Wang. Concept drift type identification based on multi-sliding windows. Information Sciences, 2022, 585, 1-23.

[6] Husheng Guo, Qiaoyan Ren, Wenjian Wang. Concept drift class detection based on time window. Journal of Computer Research and Development(计算机研究与发展), 2022, 59 (1): 127-143.(in Chinese)

[7] Husheng Guo, Shuai Zhang, Wenjian Wang. Selective ensemble-based online adaptive deep neural networks for streaming data with concept drift. Neural Networks, 2021, 142, 437-456.

[8] Xiaobo Qi, Husheng Guo, Wenjian Wang. A reliable KNN filling approach for incomplete interval-valued data. Engineering Applications of Artificial Intelligence, 2021, 100, 104175: 1-12.

[9] Husheng Guo, Aijuan Zhang, Wenjian Wang. An accelerator for online SVM based on the fixed-size KKT window. Engineering Applications of Artificial Intelligence, 2020, 92, 103637: 1-18.

[10] Husheng Guo, Aijuan Zhang, Wenjian Wang. Concept drift detection method based on online performance test. Journal of Software(软件学报),2020, 31(4): 932-947. (in Chinese)

[11] Husheng Guo, Wenjian Wang. Granular support vector machine: a review. Artificial Intelligence Review, 2019, 51, 19-32.

[12] Husheng Guo, Wenjian Wang. Support vector machine based on hierarchical and dynamical granulation. Neurocomputing, 2016, 211, 22-33.

[13] Husheng Guo, Wenjian Wang. An active learning-based SVM multi-class classification model. Pattern Recognition, 2015, 48, 1577-1597.

[14] Husheng Guo, Wenjian Wang. A pattern class mining model based on active learning. Journal of Computer Research and Development(计算机研究与发展), 2014, 51(10): 2148-2159.(in Chinese)

[15] Wenjian Wang, Husheng Guo. Granular support vector machine based on mixed measure. Neurocomputing, 2013, 101, 116-128.

[16] Husheng Guo, Wenjian Wang. Dynamical granular support vector regression machine. Journal of Software(软件学报), 2013, 24(11): 2535-2547.(in Chinese)

[17] Husheng Guo, Wenjian Wang. A support vector machine learning method based on granule shift parameter. Journal of Computer Research and Development(计算机研究与发展), 2013, 50(11): 2315-2324.(in Chinese)

1、具有概念漂移特性的流数据自适应建模与高效计算,国家自然科学基金面上项目,No.62276157,2023.01-2026.12(主持人)

2、从大数据到小信息——支持粒度机建模及应用研究,国家自然科学基金青年项目,No.61503229,2016.01-2018.12(主持人)

3、流数据高效挖掘及概念漂移检测关键技术研究,山西省自然科学基金面上项目,No.201901D111033,2019.09-2022.08(主持人)

4、基于分布特征的流数据可靠建模与高效算法设计,国家自然科学基金面上项目,No.62076154,2021.01-2024.12(排名第二)

5、基于数据特性分析的机器学习建模与算法研究,国家自然科学基金面上项目,No.61673249,2017.01-2020.12(排名第二)